Lovefield
Lovefield

2
25
+ 1
3
ZeroDB
ZeroDB

3
17
+ 1
1
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Lovefield vs ZeroDB: What are the differences?

Developers describe Lovefield as "A relational database for web apps, by Google". Written in JavaScript, works cross-browser. Provides SQL-like APIs that are fast, safe, and easy to use. On the other hand, ZeroDB is detailed as "Moving on-premise databases to the cloud, cheaply and securely". ZeroDB enables clients to run queries over encrypted databases without exposing decrypted data to the server and without a proxy gateway. Data at rest and in use is secure - the cloud is no longer a single point of failure.

Lovefield and ZeroDB belong to "Databases" category of the tech stack.

Lovefield and ZeroDB are both open source tools. Lovefield with 6.11K GitHub stars and 383 forks on GitHub appears to be more popular than ZeroDB with 1.58K GitHub stars and 99 GitHub forks.

Pros of Lovefield
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Cons of Lovefield
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    What is Lovefield?

    Written in JavaScript, works cross-browser. Provides SQL-like APIs that are fast, safe, and easy to use.

    What is ZeroDB?

    ZeroDB enables clients to run queries over encrypted databases without exposing decrypted data to the server and without a proxy gateway. Data at rest and in use is secure - the cloud is no longer a single point of failure.

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    What are some alternatives to Lovefield and ZeroDB?
    Pouchdb
    PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.
    AlaSQL
    Open source SQL database for Javascript with a strong focus on query speed and datasource flexibility for relational data, schemaless data, and graph data. Works in your browser, Node.js and Cordova. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, and Excel.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    See all alternatives
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